J
Juan Ospina
Researcher at Florida A&M University – Florida State University College of Engineering
Publications - 29
Citations - 463
Juan Ospina is an academic researcher from Florida A&M University – Florida State University College of Engineering. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 8, co-authored 24 publications receiving 184 citations. Previous affiliations of Juan Ospina include Los Alamos National Laboratory & Florida State University.
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Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies
TL;DR: In this article, the authors provide a comprehensive overview of the cyber-physical energy systems (CPS) security landscape with an emphasis on CPES, and demonstrate a threat modeling methodology to accurately represent the CPS elements, their interdependencies, as well as the possible attack entry points and system vulnerabilities.
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Forecasting of PV plant output using hybrid wavelet-based LSTM-DNN structure model
TL;DR: A novel forecasting model designed to accurately forecast the PV power output for both large-scale and small-scale PV systems is proposed and improved the forecasting accuracy significantly in the metrics used to compare with other models while reducing the number of features needed to perform the forecasting operation.
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Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems
TL;DR: In this paper, the authors proposed a cybersecurity assessment approach designed to assess the cyberphysical security of electric power systems (EPS), taking into consideration the intermittent generation of RES, vulnerabilities introduced by microprocessor-based electronic information and operational technology (IT/OT) devices, and contingency analysis results.
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A Review of Current Research Trends in Power-Electronic Innovations in Cyber–Physical Systems
Sudip K. Mazumder,Abhijit Kulkarni,Subham Sahoo,Frede Blaabjerg,H. Alan Mantooth,Juan Carlos Balda,Yue Zhao,Jorge Ramos-Ruiz,Prasad Enjeti,P. R. Kumar,Le Xie,Johan H. Enslin,Burak Ozpineci,Anuradha M. Annaswamy,Herbert L. Ginn,Feng Qiu,Jianzhe Liu,Besma Smida,Colin Ogilvie,Juan Ospina,Charalambos Konstantinou,Mark Stanovich,Karl Schoder,Michael Steurer,Tuyen Vu,Lina He,Eduardo Pilo de la Fuente +26 more
TL;DR: The topics presented in this paper include novel power-distribution architectures, protection techniques considering large renewable integration in smart grids, wireless charging in electric vehicles, simultaneous power and information transmission, multi-hop network-based coordination, power technologies for renewable energy and smart transformer, CPS reliability, transactive smart railway grid, and real-time simulation of shipboard power systems.
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Sampling-Based Model Predictive Control of PV-Integrated Energy Storage System Considering Power Generation Forecast and Real-Time Price
Juan Ospina,Nikhil Gupta,Alvi Newaz,Mario Harper,M. Omar Faruque,Emmanuel G. Collins,Rick Meeker,Gwen Lofman +7 more
TL;DR: The proposed model uses sampling-based model predictive control (SBMPC), together with the real-time price of energy and forecasts of PV and load power, to allocate the dispatch of the available distributed energy resources (DERs) while minimizing the overall cost.